The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-08-31"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "25484767 (up from 25222709 yesterday: 1.04 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "850535 (up from 846395 yesterday: 0.49 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 5395143

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 3.34



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 6030587 34156 0.57 936187 183597 531 0.29 3.04
Brazil 3908272 45961 1.19 850802 121381 553 0.46 3.11
India 3691166 69921 1.93 1422491 65288 819 1.27 1.77
Russia 992402 4932 0.50 101603 17128 83 0.49 1.73
Peru 647166 7731 1.21 164033 28788 181 0.63 4.45
South Africa 627041 1985 0.32 63443 14149 121 0.86 2.26
Colombia 615094 7190 1.18 217471 19662 299 1.54 3.20
Mexico 599560 3719 0.62 113724 64414 256 0.40 10.74
Spain 462858 23572 5.37 139878 29094 83 0.29 6.29
Argentina 417735 9309 2.28 163867 8660 203 2.40 2.07
Chile 411726 1752 0.43 36682 11289 45 0.40 2.74
Iran 375212 1642 0.44 46368 21571 109 0.51 5.75
United Kingdom 338083 1415 0.42 24691 41589 3 0.01 12.30
France 318986 3173 1.00 79637 30640 29 0.09 9.61
Saudi Arabia 315772 951 0.30 25825 3897 27 0.70 1.23
Bangladesh 312996 2174 0.70 52489 4281 33 0.78 1.37
Pakistan 295849 213 0.07 11189 6294 6 0.10 2.13
Turkey 270133 1587 0.59 28136 6370 44 0.70 2.36
Italy 269214 996 0.37 18389 35483 6 0.02 13.18
Germany 244802 1497 0.62 26294 9303 3 0.03 3.80
Iraq 234934 3757 1.63 81335 7042 83 1.19 3.00
Philippines 220819 3423 1.57 84181 3558 38 1.08 1.61
Indonesia 174796 2743 1.59 47713 7417 74 1.01 4.24
Canada 130918 1030 0.79 8865 9173 9 0.10 7.01
Ukraine 124132 2202 1.81 40320 2605 30 1.17 2.10
Qatar 118778 203 0.17 5516 197 0 0.00 0.17
Bolivia 116598 630 0.54 24963 5027 61 1.23 4.31
Israel 116596 2576 2.26 31874 939 20 2.18 0.81
Ecuador 113767 119 0.10 19066 6556 1 0.02 5.76
Kazakhstan 105872 77 0.07 5708 1523 0 0.00 1.44
Egypt 98939 212 0.21 3273 5421 22 0.41 5.48
Dominican Republic 94715 474 0.50 14216 1710 29 1.73 1.81
Panama 92982 917 1.00 17588 2002 7 0.35 2.15
China 89914 19 0.02 1008 4723 1 0.02 5.25
Romania 87540 755 0.87 24993 3621 43 1.20 4.14
Oman 85722 178 0.21 3935 685 8 1.18 0.80
Belgium 85236 194 0.23 10616 9895 1 0.01 11.61
Kuwait 85109 473 0.56 12709 531 1 0.19 0.62
Sweden 84379 421 0.50 1407 5808 -13 -0.22 6.88
Guatemala 74074 162 0.22 17087 2760 20 0.73 3.73
Netherlands 73232 553 0.76 13174 6252 0 0.00 8.54
Belarus 71843 156 0.22 2896 681 5 0.74 0.95
United Arab Emirates 70231 541 0.78 7527 384 2 0.52 0.55
Japan 68396 438 0.64 18779 1298 13 1.01 1.90
Poland 67372 502 0.75 14962 2039 6 0.30 3.03
Morocco 62590 1191 1.94 28527 1141 30 2.70 1.82
Honduras 61014 840 1.40 13142 1873 15 0.81 3.07
Portugal 58012 244 0.42 5187 1822 3 0.16 3.14
Singapore 56812 41 0.07 1520 27 0 0.00 0.05
Nigeria 54008 143 0.27 7141 1013 0 0.00 1.88
Ethiopia 52131 1009 1.97 28540 809 16 2.02 1.55
Bahrain 51972 398 0.77 7575 190 1 0.53 0.37
Venezuela 46728 860 1.87 19928 386 5 1.31 0.83
Algeria 44494 348 0.79 8782 1510 9 0.60 3.39
Ghana 44298 93 0.21 3086 276 0 0.00 0.62
Kyrgyzstan 43898 78 0.18 3813 1058 0 0.00 2.41
Armenia 43781 31 0.07 3348 879 2 0.23 2.01
Switzerland 42177 163 0.39 5469 2006 1 0.05 4.76
Uzbekistan 41893 469 1.13 10589 320 7 2.24 0.76
Costa Rica 41287 1588 4.00 17415 436 18 4.31 1.06
Nepal 39460 899 2.33 16150 228 7 3.17 0.58
Afghanistan 38165 3 0.01 1003 1402 0 0.00 3.67
Moldova 36920 220 0.60 9079 995 3 0.30 2.70
Azerbaijan 36435 126 0.35 2788 534 3 0.56 1.47
Kenya 34201 144 0.42 7273 577 3 0.52 1.69
Serbia 31406 41 0.13 3144 713 2 0.28 2.27
Ireland 28811 51 0.18 2043 1777 0 0.00 6.17
Austria 27438 272 1.00 5332 733 0 0.00 2.67
Australia 25819 73 0.28 4106 657 5 0.77 2.54
El Salvador 25729 94 0.37 4857 717 4 0.56 2.79
Czechia 24618 251 1.03 6124 424 1 0.24 1.72
West Bank and Gaza 22729 525 2.36 8219 152 0 0.00 0.67
Korea, South 20182 235 1.18 5522 324 0 0.00 1.61
Bosnia and Herzegovina 19964 171 0.86 5466 609 11 1.84 3.05
Cameroon 19142 0 0.00 1100 411 0 0.00 2.15
Cote d’Ivoire 18067 119 0.66 1269 117 2 1.74 0.65
Paraguay 17662 557 3.26 10428 326 18 5.84 1.85
Denmark 17410 94 0.54 2275 624 0 0.00 3.58
Lebanon 17308 438 2.60 10496 167 7 4.38 0.96
Bulgaria 16266 76 0.47 2754 629 16 2.61 3.87
Madagascar 14863 20 0.13 1661 192 1 0.52 1.29
North Macedonia 14341 11 0.08 2399 603 3 0.50 4.20
Libya 13966 543 4.05 8037 237 5 2.16 1.70
Senegal 13611 55 0.41 2299 284 0 0.00 2.09
Sudan 13189 0 0.00 1233 823 0 0.00 6.24
Kosovo 12683 0 0.00 2264 488 0 0.00 3.85
Zambia 12097 72 0.60 3887 288 1 0.35 2.38
Norway 10782 139 1.31 1098 264 0 0.00 2.45
Greece 10317 183 1.81 4568 266 4 1.53 2.58
Croatia 10269 146 1.44 4620 186 2 1.09 1.81
Congo (Kinshasa) 10097 52 0.52 608 258 0 0.00 2.56

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 712475 6524 0.92 138244 13022 85 0.66 1.83 18031.76 329.57 1 in 55
Texas 632739 3169 0.50 123158 12779 96 0.76 2.02 21821.69 440.72 1 in 46
Florida 623471 1885 0.30 86510 11187 68 0.61 1.79 29028.71 520.86 1 in 34
New York 434756 656 0.15 13420 32957 6 0.02 7.58 22348.40 1694.14 1 in 45
Georgia 270471 1498 0.56 51446 5633 29 0.52 2.08 25474.26 530.54 1 in 39
Illinois 236724 1666 0.71 40025 8235 7 0.09 3.48 18681.14 649.87 1 in 54
Arizona 201835 174 0.09 14312 5029 -1 -0.02 2.49 26505.30 660.42 1 in 38
New Jersey 191960 349 0.18 6929 15945 8 0.05 8.31 21611.79 1795.17 1 in 46
North Carolina 167309 1182 0.71 29747 2702 10 0.37 1.61 15952.29 257.63 1 in 63
Tennessee 154933 1818 1.19 31019 1754 7 0.40 1.13 22673.65 256.69 1 in 44
Louisiana 148193 326 0.22 16232 4950 19 0.39 3.34 31877.73 1064.79 1 in 31
Pennsylvania 138795 661 0.48 14574 7659 1 0.01 5.52 10841.67 598.27 1 in 92
Massachusetts 128533 304 0.24 7218 9060 11 0.12 7.05 18495.28 1303.69 1 in 54
Alabama 126058 823 0.66 23038 2182 20 0.93 1.73 25709.41 445.02 1 in 39
Ohio 123155 895 0.73 21424 4139 10 0.24 3.36 10535.88 354.09 1 in 95
Virginia 120575 846 0.71 19826 2580 11 0.43 2.14 14126.26 302.27 1 in 71
South Carolina 118992 668 0.56 17833 2720 11 0.41 2.29 23111.01 528.29 1 in 43
Michigan 113025 499 0.44 15719 6753 5 0.07 5.97 11317.37 676.19 1 in 88
Maryland 108249 458 0.42 11991 3755 3 0.08 3.47 17905.18 621.10 1 in 56
Indiana 94196 883 0.95 19204 3296 5 0.15 3.50 13991.82 489.59 1 in 71
Missouri 85635 1161 1.37 25276 1547 14 0.91 1.81 13952.91 252.06 1 in 72
Mississippi 82950 274 0.33 15301 2473 32 1.31 2.98 27871.59 830.94 1 in 36
Minnesota 75864 675 0.90 14348 1866 1 0.05 2.46 13451.94 330.87 1 in 74
Wisconsin 75603 266 0.35 14542 1122 0 0.00 1.48 12984.78 192.70 1 in 77
Washington 74635 315 0.42 10988 1915 10 0.52 2.57 9801.19 251.48 1 in 102
Nevada 69228 320 0.46 12256 1305 3 0.23 1.89 22475.49 423.68 1 in 44
Iowa 65139 540 0.84 15974 1120 7 0.63 1.72 20645.82 354.98 1 in 48
Arkansas 61224 368 0.60 11196 797 13 1.66 1.30 20287.46 264.10 1 in 49
Oklahoma 58733 614 1.06 14770 800 1 0.13 1.36 14842.92 202.17 1 in 67
Colorado 57404 201 0.35 6384 1945 3 0.15 3.39 9968.16 337.75 1 in 100
Connecticut 52879 384 0.73 2312 4465 0 0.00 8.44 14831.63 1252.35 1 in 67
Utah 52107 253 0.49 7717 407 0 0.00 0.78 16253.18 126.95 1 in 62
Kentucky 48396 365 0.76 13142 933 4 0.43 1.93 10832.48 208.83 1 in 92
Kansas 42599 838 2.01 11416 451 2 0.45 1.06 14622.18 154.81 1 in 68
Nebraska 34287 241 0.71 5591 397 5 1.28 1.16 17724.80 205.23 1 in 56
Puerto Rico 33199 351 1.07 10378 434 0 0.00 1.31 10395.17 135.89 1 in 96
Idaho 32081 223 0.70 6977 361 2 0.56 1.13 17901.69 201.44 1 in 56
Oregon 26713 159 0.60 5225 459 1 0.22 1.72 6333.49 108.83 1 in 158
New Mexico 25352 69 0.27 2908 779 9 1.17 3.07 12090.64 371.51 1 in 83
Rhode Island 21949 266 1.23 2015 1048 2 0.19 4.77 20719.09 989.28 1 in 48
Delaware 17429 86 0.50 1795 605 1 0.17 3.47 17898.59 621.30 1 in 56
District of Columbia 13992 33 0.24 1185 607 1 0.17 4.34 19825.75 860.08 1 in 50
South Dakota 13509 187 1.40 3846 167 0 0.00 1.24 15270.29 188.77 1 in 65
North Dakota 11816 114 0.97 4103 143 1 0.70 1.21 15505.30 187.65 1 in 64
West Virginia 10249 140 1.38 2492 215 1 0.47 2.10 5734.84 120.30 1 in 174
Hawaii 8472 133 1.59 4834 70 7 11.11 0.83 5983.59 49.44 1 in 167
Montana 7421 81 1.10 2404 104 0 0.00 1.40 6943.44 97.31 1 in 144
New Hampshire 7275 21 0.29 435 432 0 0.00 5.94 5350.40 317.71 1 in 187
Alaska 5263 37 0.71 1489 37 0 0.00 0.70 7194.36 50.58 1 in 139
Maine 4529 15 0.33 478 132 0 0.00 2.91 3369.26 98.20 1 in 297
Wyoming 3850 21 0.55 808 37 0 0.00 0.96 6652.16 63.93 1 in 150
Vermont 1624 8 0.50 162 58 0 0.00 3.57 2602.61 92.95 1 in 384

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 11373305 712475 6.26 2374952 138244 5.82 287842.7
2 Texas 4961553 632739 12.75 887892 123158 13.87 171112.3
3 Florida 4615539 623471 13.51 601682 86510 14.38 214898.8
4 New York 8263033 434756 5.26 1699387 13420 0.79 424756.8
5 Georgia 2343634 270471 11.54 481672 51446 10.68 220734.7
6 Illinois 4065863 236724 5.82 958222 40025 4.18 320858.6
7 Arizona 1204429 201835 16.76 176198 14312 8.12 158167.5
8 New Jersey 2857918 191960 6.72 533872 6929 1.30 321758.3
9 North Carolina 2256172 167309 7.42 254253 29747 11.70 215117.6
10 Tennessee 2200999 154933 7.04 473092 31019 6.56 322104.9
11 Louisiana 1872789 148193 7.91 324856 16232 5.00 402854.8
12 Pennsylvania 1658220 138795 8.37 297937 14574 4.89 129528.3
13 Massachusetts 1742517 128533 7.38 411241 7218 1.76 250739.8
14 Alabama 985287 126058 12.79 204720 23038 11.25 200948.4
15 Ohio 2244104 123155 5.49 556460 21424 3.85 191982.6
16 Virginia 1586551 120575 7.60 325004 19826 6.10 185876.3
17 South Carolina 949548 118992 12.53 157918 17833 11.29 184424.3
18 Michigan 2764431 113025 4.09 641842 15719 2.45 276806.9
19 Maryland 1330853 108249 8.13 274043 11991 4.38 220132.9
20 Indiana 1076947 94196 8.75 224836 19204 8.54 159969.1
21 Missouri 982955 85635 8.71 213037 25276 11.86 160157.5
22 Mississippi 573865 82950 14.45 79272 15301 19.30 192821.3
23 Minnesota 1128023 75864 6.73 183863 14348 7.80 200017.1
24 Wisconsin 1253422 75603 6.03 186664 14542 7.79 215274.6
25 Washington 1461354 74635 5.11 448175 10988 2.45 191907.4
26 Nevada 597921 69228 11.58 75729 12256 16.18 194120.4
27 Iowa 620872 65139 10.49 99485 15974 16.06 196785.5
28 Arkansas 727035 61224 8.42 157715 11196 7.10 240913.6
29 Oklahoma 865278 58733 6.79 170830 14770 8.65 218671.8
30 Colorado 1002802 57404 5.72 410962 6384 1.55 174135.8
31 Connecticut 1173096 52879 4.51 270139 2312 0.86 329032.7
32 Utah 659855 52107 7.90 85295 7717 9.05 205821.5
33 Kentucky 821320 48396 5.89 163513 13142 8.04 183836.2
34 Kansas 413249 42599 10.31 86580 11416 13.19 141848.4
35 Nebraska 361351 34287 9.49 58716 5591 9.52 186801.9
37 Idaho 256013 32081 12.53 49537 6977 14.08 142859.2
38 Oregon 557228 26713 4.79 106496 5225 4.91 132115.4
39 New Mexico 756933 25352 3.35 129306 2908 2.25 360989.4
40 Rhode Island 524414 21949 4.19 302067 2015 0.67 495028.6
41 Delaware 236849 17429 7.36 36177 1795 4.96 243230.4
42 District of Columbia 290682 13992 4.81 70291 1185 1.69 411877.3
43 South Dakota 146529 13509 9.22 25052 3846 15.35 165633.3
44 North Dakota 201761 11816 5.86 31922 4103 12.85 264756.7
45 West Virginia 436047 10249 2.35 109003 2492 2.29 243990.6
46 Hawaii 196719 8472 4.31 54623 4834 8.85 138938.4
47 Montana 250238 7421 2.97 56833 2404 4.23 234134.7
48 New Hampshire 210916 7275 3.45 36638 435 1.19 155118.3
49 Alaska 348630 5263 1.51 68287 1489 2.18 476566.7
50 Maine 262935 4529 1.72 72029 478 0.66 195605.3
51 Wyoming 76273 3850 5.05 18591 808 4.35 131787.1
52 Vermont 135721 1624 1.20 32368 162 0.50 217505.4

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 808306 15765 1.99 584537 72.32 198523 24903 320 1.30 3.08
Andhra Pradesh 445139 10368 2.38 339876 76.35 101210 4053 84 2.12 0.91
Tamil Nadu 433969 5928 1.38 374172 86.22 52379 7418 95 1.30 1.71
Karnataka 351481 9058 2.65 254626 72.44 90999 5837 135 2.37 1.66
Uttar Pradesh 235757 5343 2.32 176677 74.94 55538 3542 56 1.61 1.50
Delhi 177060 2312 1.32 156728 88.52 15870 4462 18 0.41 2.52
West Bengal 165721 2943 1.81 137616 83.04 24822 3283 55 1.70 1.98
Bihar 138265 1928 1.41 121601 87.95 15954 709 15 2.16 0.51
Telangana 130589 5626 4.50 97402 74.59 32341 846 19 2.30 0.65
Assam 111725 2684 2.46 86893 77.77 24514 315 9 2.94 0.28
Odisha 106561 3025 2.92 80770 75.80 25235 556 11 2.02 0.52
Gujarat 97745 1310 1.36 79013 80.84 15698 3034 14 0.46 3.10
Rajasthan 83163 1470 1.80 68124 81.92 13970 1069 13 1.23 1.29
Kerala 76526 1141 1.51 53649 70.11 22514 299 4 1.36 0.39
Haryana 66426 1694 2.62 53835 81.05 11885 706 17 2.47 1.06
Madhya Pradesh 65490 1525 2.38 49992 76.34 14072 1426 32 2.30 2.18
Punjab 55508 1516 2.81 38147 68.72 15849 1512 59 4.06 2.72
Jharkhand 43833 2177 5.23 28149 64.22 15256 428 11 2.64 0.98
Jammu and Kashmir 38223 525 1.39 29484 77.14 8022 717 14 1.99 1.88
Chhattisgarh 33387 1884 5.98 17567 52.62 15533 287 10 3.61 0.86
Uttarakhand 20398 571 2.88 14012 68.69 6042 280 11 4.09 1.37
Goa 18006 588 3.38 13850 76.92 3962 194 1 0.52 1.08
Puducherry 14766 355 2.46 9675 65.52 4851 240 12 5.26 1.63
Tripura 12153 509 4.37 7654 62.98 4367 113 10 9.71 0.93
Manipur 6382 130 2.08 4450 69.73 1903 29 1 3.57 0.45
Himachal Pradesh 6255 139 2.27 4646 74.28 1525 41 4 10.81 0.66
Chandigarh 4550 204 4.69 2551 56.07 1939 57 1 1.79 1.25
Arunachal Pradesh 4212 100 2.43 2979 70.73 1226 7 0 0.00 0.17
Nagaland 4003 53 1.34 3191 79.72 794 8 0 0.00 0.20
Andaman and Nicobar Islands 3160 28 0.89 2714 85.89 400 46 0 0.00 1.46
Ladakh 2733 52 1.94 1978 72.37 720 35 1 2.94 1.28
Meghalaya 2440 72 3.04 1235 50.61 1193 12 2 20.00 0.49
Dadra and Nagar Haveli and Daman and Diu 2386 19 0.80 2121 88.89 243 2 0 0.00 0.08
Sikkim 1670 18 1.09 1237 74.07 429 4 1 33.33 0.24
Mizoram 1019 8 0.79 611 59.96 408 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1596833 100075 135 0.14 6.27 195 22 6952 16865 16.85
Piemonte 587908 32881 37 0.11 5.59 98 7 1432 4146 12.61
Emilia-Romagna 899733 31922 117 0.37 3.55 106 9 2977 4463 13.98
Veneto 1554195 22929 65 0.28 1.48 51 8 2387 2120 9.25
Toscana 539518 11858 73 0.62 2.20 52 8 1574 1141 9.62
Lazio 584482 11191 148 1.34 1.91 328 7 3174 878 7.85
Liguria 237402 10951 44 0.40 4.61 38 1 541 1571 14.35
Marche 204808 7240 2 0.03 3.54 13 1 298 987 13.63
Campania 419261 7066 184 2.67 1.69 95 1 2210 445 6.30
Puglia 305020 5440 38 0.70 1.78 116 7 844 556 10.22
P.A. Trento 186593 5096 4 0.08 2.73 5 1 91 405 7.95
Sicilia 347662 4317 26 0.61 1.24 70 10 1125 286 6.62
Abruzzo 157035 3777 4 0.11 2.41 35 1 427 472 12.50
Friuli Venezia Giulia 325992 3769 5 0.13 1.16 13 2 365 348 9.23
P.A. Bolzano 138021 2935 3 0.10 2.13 8 2 190 292 9.95
Sardegna 135617 2193 79 3.74 1.62 28 4 789 134 6.11
Umbria 154171 1793 9 0.50 1.16 10 2 268 80 4.46
Calabria 155845 1491 14 0.95 0.96 21 0 245 97 6.51
Valle d’Aosta 24893 1241 9 0.73 4.99 2 0 31 146 11.76
Molise 33593 525 0 0.00 1.56 3 0 70 23 4.38
Basilicata 56277 524 0 0.00 0.93 1 1 88 28 5.34

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 62492 140 0.22 5760 2 0.03 9.22 7319.56 674.66 1 in 137
Ontario 44279 136 0.31 2857 1 0.04 6.45 3009.76 194.20 1 in 332
Alberta 13902 426 3.16 239 2 0.84 1.72 3150.13 54.16 1 in 317
British Columbia 5790 294 5.35 208 4 1.96 3.59 1132.87 40.70 1 in 883
Saskatchewan 1619 4 0.25 24 0 0.00 1.48 1370.10 20.31 1 in 730
Manitoba 1214 28 2.36 14 0 0.00 1.15 881.30 10.16 1 in 1135
Nova Scotia 1085 2 0.18 65 0 0.00 5.99 1110.02 66.50 1 in 901
Newfoundland and Labrador 269 0 0.00 3 0 0.00 1.12 515.95 5.75 1 in 1938
New Brunswick 191 0 0.00 2 0 0.00 1.05 244.87 2.56 1 in 4084
Prince Edward Island 44 0 0.00 0 0 NaN 0.00 278.20 0.00 1 in 3594
Yukon 15 0 0.00 0 0 NaN 0.00 365.16 0.00 1 in 2739
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68139 4512 6.62
Hong Kong 4810 89 1.85
Guangdong 1740 8 0.46
Zhejiang 1278 1 0.08
Henan 1276 22 1.72
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 948 13 1.37
Beijing 935 9 0.96
Jiangxi 935 1 0.11
Shanghai 904 7 0.77
Xinjiang 902 3 0.33
Shandong 831 7 0.84
Jiangsu 665 0 0.00
Sichuan 652 3 0.46
Chongqing 583 6 1.03
Fujian 383 1 0.26
Hebei 365 6 1.64
Shaanxi 365 3 0.82
Liaoning 262 2 0.76
Inner Mongolia 261 1 0.38
Guangxi 255 2 0.78
Tianjin 229 3 1.31
Shanxi 203 0 0.00
Yunnan 199 2 1.01
Hainan 171 6 3.51
Gansu 169 2 1.18
Jilin 157 2 1.27
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 18430.89 561.12 1 in 54
Brazil 18673.06 579.94 1 in 54
India 2756.66 48.76 1 in 363
Russia 6867.83 118.53 1 in 146
Peru 20117.07 894.87 1 in 50
South Africa 11055.02 249.45 1 in 90
Colombia 12535.03 400.69 1 in 80
Mexico 4640.56 498.56 1 in 215
Spain 9919.80 623.53 1 in 101
Argentina 9436.07 195.62 1 in 106
Chile 22810.30 625.43 1 in 44
Iran 4623.11 265.78 1 in 216
United Kingdom 5088.55 625.96 1 in 197
France 4761.70 457.38 1 in 210
Saudi Arabia 9586.28 118.31 1 in 104
Bangladesh NA NA 1 in NA
Pakistan 1501.77 31.95 1 in 666
Turkey 3342.82 78.83 1 in 299
Italy 4451.29 586.69 1 in 225
Germany 2956.90 112.37 1 in 338

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
Los Angeles California 241768 5784 2.39
Miami-Dade Florida 156910 2437 1.55
Maricopa Arizona 133728 2961 2.21
Cook Illinois 126577 5058 4.00
Harris Texas 106595 2192 2.06
Dallas Texas 71630 947 1.32
Broward Florida 71121 1184 1.66
Queens New York 70222 7222 10.28
Kings New York 64998 7290 11.22
Clark Nevada 59420 1126 1.89
Riverside California 52909 1019 1.93
Bronx New York 51610 4909 9.51
Orange California 48538 980 2.02
San Bernardino California 47642 716 1.50
Bexar Texas 46441 1086 2.34
Suffolk New York 44820 2002 4.47
Nassau New York 44677 2198 4.92
Palm Beach Florida 41965 1119 2.67
Tarrant Texas 41617 610 1.47
San Diego California 38604 682 1.77
Hillsborough Florida 37136 551 1.48
Westchester New York 36984 1451 3.92
Orange Florida 35902 377 1.05
Philadelphia Pennsylvania 33778 1749 5.18
New York New York 32119 3170 9.87
Wayne Michigan 31231 2883 9.23
Kern California 29324 286 0.98
Hidalgo Texas 27538 1171 4.25
Shelby Tennessee 27120 387 1.43
Travis Texas 26516 385 1.45
Duval Florida 26460 254 0.96
Prince George’s Maryland 26215 792 3.02
Mecklenburg North Carolina 25345 289 1.14
Middlesex Massachusetts 25307 2070 8.18
Fresno California 24963 263 1.05
Fulton Georgia 24891 518 2.08
Gwinnett Georgia 24252 336 1.39
Milwaukee Wisconsin 24079 489 2.03
Salt Lake Utah 23987 230 0.96
Davidson Tennessee 23474 259 1.10
Hennepin Minnesota 23134 879 3.80
Suffolk Massachusetts 22354 1109 4.96
Franklin Ohio 21785 562 2.58
Bergen New Jersey 21600 2033 9.41
Pima Arizona 21221 576 2.71
Cameron Texas 20959 757 3.61
El Paso Texas 20460 428 2.09
Essex New Jersey 20324 2115 10.41
Hudson New Jersey 20144 1508 7.49
Montgomery Maryland 20006 821 4.10
Pinellas Florida 19929 658 3.30
King Washington 19643 723 3.68
St. Louis Missouri 19432 729 3.75
Fairfield Connecticut 18903 1414 7.48
Nueces Texas 18886 353 1.87
Lee Florida 18673 423 2.27
Marion Indiana 18466 748 4.05
Middlesex New Jersey 18456 1418 7.68
Fairfax Virginia 18417 558 3.03
Passaic New Jersey 18351 1246 6.79
Alameda California 18187 258 1.42
Oakland Michigan 18053 1163 6.44
Sacramento California 18052 293 1.62
Essex Massachusetts 18007 1239 6.88
San Joaquin California 17637 328 1.86
Santa Clara California 17349 244 1.41
Union New Jersey 17103 1351 7.90
Polk Florida 17011 443 2.60
Cobb Georgia 16966 391 2.30
Providence Rhode Island 16668 0 0.00
DeKalb Georgia 16555 300 1.81
Jefferson Louisiana 16461 546 3.32
Out of GA Georgia 16233 127 0.78
Jefferson Alabama 15872 299 1.88
Cuyahoga Ohio 15714 575 3.66
Baltimore Maryland 15479 602 3.89
Richmond New York 15288 1083 7.08
Wake North Carolina 14967 199 1.33
Fort Bend Texas 14957 237 1.58
Stanislaus California 14710 258 1.75
DuPage Illinois 14615 533 3.65
Lake Illinois 14594 466 3.19
Baltimore City Maryland 14478 463 3.20
Rockland New York 14255 674 4.73
Tulare California 14079 233 1.65
Charleston South Carolina 14053 238 1.69
District of Columbia District of Columbia 13992 607 4.34
Contra Costa California 13938 175 1.26
East Baton Rouge Louisiana 13778 410 2.98
New Haven Connecticut 13675 1109 8.11
Hartford Connecticut 13504 1425 10.55
Douglas Nebraska 13482 158 1.17
Oklahoma Oklahoma 13436 154 1.15
Worcester Massachusetts 13417 1055 7.86
Polk Iowa 13370 225 1.68
Tulsa Oklahoma 13233 132 1.00
Macomb Michigan 12780 968 7.57
Yuma Arizona 12230 321 2.62
Greenville South Carolina 12137 256 2.11
Mobile Alabama 12043 255 2.12

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc